Published February 1, 2017 | Version v1
Journal article

Fast discrimination of hydroxypropyl methyl cellulose using portable Raman spectrometer and multivariate methods

  • 1. Department of Instrument Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240 (China)
  • 2. The Second Military Medical University, Shanghai 200433 (China)
  • 3. Shanghai Institute for Food and Drug Control, Shanghai 201203 (China)

Description

Raman spectroscopy is developed as a fast and non-destructive method for the discrimination and classification of hydroxypropyl methyl cellulose (HPMC) samples. 44 E series and 41 K series of HPMC samples are measured by a self-developed portable Raman spectrometer (Hx-Raman) which is excited by a 785 nm diode laser and the spectrum range is 200–2700 cm−1 with a resolution (FWHM) of 6 cm−1. Multivariate analysis is applied for discrimination of E series from K series. By methods of principal components analysis (PCA) and Fisher discriminant analysis (FDA), a discrimination result with sensitivity of 90.91% and specificity of 95.12% is achieved. The corresponding receiver operating characteristic (ROC) is 0.99, indicting the accuracy of the predictive model. This result demonstrates the prospect of portable Raman spectrometer for rapid, non-destructive classification and discrimination of E series and K series samples of HPMC. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1555-6611/aa4ffc

Additional details

Identifiers

Publishing Information

Journal Title
Laser Physics (Online)
Journal Volume
27
Journal Issue
2
Journal Page Range
[5 p.]
ISSN
1555-6611

INIS

Country of Publication
Russian Federation
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
49083696
Subject category
S36: MATERIALS SCIENCE; S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY;
Descriptors DEI
ACCURACY; CELLULOSE; CLASSIFICATION; LASERS; MULTIVARIATE ANALYSIS; RAMAN SPECTROSCOPY; RESOLUTION; SENSITIVITY; SPECIFICITY; SPECTRA
Descriptors DEC
CARBOHYDRATES; LASER SPECTROSCOPY; MATHEMATICS; ORGANIC COMPOUNDS; POLYSACCHARIDES; SACCHARIDES; SPECTROSCOPY; STATISTICS